Our client is looking for a Sr. Principal Data Scientist to support the collection, storage, processing, and analysis of data across the National Space Intelligence Center (NSIC) at Wright Patterson Air Force Base, OH.
NSIC is a field operating agency responsible for performing national and military space missions and evaluating capabilities, performance, limitations, and vulnerabilities of space and counter-space systems and services.
Your Responsibilities :
- Aid in assessing the current state of data management within NSIC.
- Identify existing data assets, systems, and processes.
- Develop a comprehensive understanding of data needs, challenges, and opportunities.
- Provide recommendations for robust data infrastructure and architecture to support the collection, storage, processing, and analysis of data across NSIC.
- Identify modern technologies such as cloud computing, big data platforms, and analytics tools to enable scalable and efficient data management.
- Implement a comprehensive data lifecycle management framework that encompasses data acquisition, ingestion, storage, processing, analysis, sharing, and disposal.
- Ensure compliance with regulatory requirements and best practices throughout the data lifecycle.
- Establish mechanisms for ensuring data quality and integrity across disparate data sources within NSIC.
- Implement data integration solutions to enable seamless interoperability and information exchange between different systems and organizations.
- Leverage advanced analytics techniques such as machine learning, artificial intelligence, and data visualization to derive actionable insights from NSIC-produced data.
- Identify training programs and capacity building initiatives to empower NSIC personnel with the knowledge and skills required for effective data management.
Basic Qualifications :
Bachelor's degree in a STEM discipline with 9 years of relevant experience; Master’s degree in a STEM discipline with 7 years of relevant experience;
PhD in a related field with 4 years of relevant experience.
- Understanding of IC data requirements and challenges.
- Ability to align data initiatives with the DoD's strategic goals and IC mission objectives.
- Knowledge of data lifecycle management, including data governance, data quality, and data security.
- Understanding of data architecture frameworks and the ability to design scalable, secure, and efficient data systems.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data storage and processing.
- Proficiency with databases (SQL, NoSQL) and data warehousing solutions.
- Experience with data visualization tools (e.g., Tableau, Power BI) to present data insights effectively.
- An active Top-Secret clearance with SCI.
Preferred Qualifications :
- Product Lifecycle experience.
- Proficient using query languages such as SQL.
- Experience mentoring and leading peers in data science projects.
- Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
- JMP proficiency (SAS statistical tool) and experience scripting in JSL.
- MATLAB experience.
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